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Medline – Customer Facing Analytics

Built a comprehensive customer-facing analytics platform for Medline, the largest privately held medical supplies manufacturer, achieving 25% improvement in inventory optimization and 90% reduction in manual reporting effort through automated workflows.

Project Overview

Built a comprehensive customer-facing analytics platform for Medline, the largest privately held medical supplies manufacturer, achieving 25% improvement in inventory optimization and 90% reduction in manual reporting effort through automated workflows.

Technologies Used

ReactTypeScriptNext.jsPower BIPower AutomateAzure App ConfigAzure App InsightsAzure API ManagementAzure StorageBitbucketSonarQubeJiraConfluence

Key Results Achieved

The project delivered exceptional results across multiple metrics, demonstrating the effectiveness of our approach and the value delivered to the client.

25%
Inventory Optimization
Improvement in inventory optimization (reduced overstocking and stock-outs)
90%
Reporting Efficiency
Reduction in manual reporting effort through automated workflows
Improved
Decision-Making Speed
Faster decision-making across supply chain and procurement teams
Increased
Customer Satisfaction
Enhanced customer satisfaction and transparency, strengthening brand credibility
Real-Time
Data Visibility
Transformed from fragmented, siloed reports to real-time, unified dashboards
Proactive
Market Responsiveness
Shifted from reactive, lagging insights to proactive, predictive analysis

Challenges Faced

Every successful project comes with its unique set of challenges. Here are the key obstacles we identified and overcame during this project.

1.Limited visibility into real-time inventory status across distribution points, creating operational bottlenecks
2.Manual reporting processes requiring hours or days to generate insights, slowing down decision-making
3.Reactive decision-making making it harder to anticipate market trends and customer needs
4.Customer dissatisfaction with static, siloed reports lacking interactivity and self-service capabilities
5.Data-rich but insight-poor operations with large volumes of data available but no comprehensive analytics tool
6.Absence of integrated analytics directly impacting operational efficiency, market responsiveness, and customer trust

Solutions Implemented

Our team developed innovative solutions to address each challenge, ensuring the project's success and exceeding client expectations.

1.Frontend Experience: Built modern, responsive React + TypeScript + Next.js frontend with intuitive user interface for both Medline teams and end customers, ensuring seamless embedding of Power BI reports
2.Interactive Analytics: Integrated Power BI dashboards with drill-down features for deeper insights, enabled trend analysis and forecasting, and provided self-service reporting to reduce IT/analyst dependency
3.Data Workflow Automation: Leveraged Power Automate to automate ingestion and processing of supply chain data, eliminated delays from manual updates, and ensured real-time refresh of dashboards
4.Cloud Infrastructure & DevOps: Configured Azure services (App Config, App Insights, API Management, Storage) for enterprise reliability and adopted DevOps best practices with Bitbucket, SonarQube, Jira, and Confluence
5.Enterprise-Grade Architecture: Delivered scalable, reliable, and secure cloud-native architecture with automated code quality checks and collaborative documentation for long-term sustainability

Project Impact & Success Metrics

The project's success is measured not just by technical achievements, but by the real-world impact it created for our client and their users.

Key Achievements:

  • 25% - Improvement in inventory optimization (reduced overstocking and stock-outs)
  • 90% - Reduction in manual reporting effort through automated workflows
  • Improved - Faster decision-making across supply chain and procurement teams
  • Increased - Enhanced customer satisfaction and transparency, strengthening brand credibility

Conclusion

By collaborating through Vienna Consultancy, Legresca successfully helped Medline transform fragmented reporting into a powerful customer-facing analytics experience. The solution unified Medline's supply chain insights, automated data processes, and empowered both internal teams and customers with real-time, interactive analytics dashboards. This case study highlights Legresca's expertise in combining enterprise-grade frontend engineering, cloud-native services, and business intelligence integration to deliver solutions that drive measurable business outcomes.

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Frequently Asked Questions

Got questions? We've got answers. Find quick solutions to common queries below.

Medline is the largest privately held manufacturer and distributor of medical supplies in the United States, serving healthcare institutions globally. They needed to enhance visibility into operations and empower customers with actionable insights from their complex supply chains and thousands of SKUs in circulation.

Medline's supply chain operations were data-rich but insight-poor. They had limited visibility into real-time inventory status, manual reporting processes taking hours or days, reactive decision-making, and customer dissatisfaction with static, siloed reports lacking interactivity.

We built a modern, responsive React + TypeScript + Next.js frontend with an intuitive user interface designed for both Medline teams and end customers. The solution ensured seamless embedding of Power BI reports into the application for a unified analytics experience.

Medline achieved 25% improvement in inventory optimization, 90% reduction in manual reporting effort, improved decision-making speed across teams, increased customer satisfaction and transparency, and delivered a future-ready analytics foundation scalable for additional business modules.

The solution transformed Medline from fragmented, siloed reports to real-time, unified dashboards, shifted from manual reporting taking hours/days to automated processes reduced to minutes, and changed from reactive, lagging insights to proactive, predictive analysis.

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Medline – Customer Facing Analytics | Legresca Case Study